Develop solutions that operate reliably under real-world variations in lighting, positioning, imaging conditions, tissue characteristics, and system configurations Prototype and test algorithms using laboratory equipment, imaging systems, and production hardware Troubleshoot and optimize vision systems during development, verification, manufacturing, and field deployment Collaborate with Software, Electrical, Mechanical, Manufacturing, Quality, and R&D teams to translate system requirements into practical computer vision solutions Participate in design reviews, technical investigations, root-cause analysis, and continuous improvement initiatives Develop technical documentation, test plans, verification procedures, and other engineering documentation in accordance with medical device development practices Support verification and validation activities and contribute to maintaining compliance with applicable quality and regulatory requirements Monitor deployed systems and use performance data to identify opportunities for algorithm and product improvements Stay current with advances in computer vision, machine learning, image processing, and AI technologies and evaluate their potential application to Clarapath products. Responsibilities: Develop, implement, and optimize computer vision and image processing algorithms for medical robotics and automated laboratory systems Design vision-based solutions for object detection, segmentation, tracking, registration, measurement, inspection, and alignment Develop and deploy machine learning and deep learning models for image analysis and automated decision-making Collect, curate, annotate, and analyze image datasets to support algorithm and model development Evaluate model and algorithm performance using appropriate metrics, testing methodologies, and real-world datasets.